Comments (3)
Hi,
I tried run_pretraining.py recently, works fine to me.
I'm using tensorflow-gpu=1.15.0, cudatoolkit=10.0.
First, I think that 960M has very limited VRAM, that could cause your issue.
Second, make sure that you use the same setting when running create_pretraining_data.py
and run_pretraining.py
. I had set once max_seq_length=512 in create_pretraining_data.py
, but max_seq_length=128 in run_pretraining.py
. That will also break the code, but not because of the OOM, I think.
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sorry for the late answer
as shown above, 960M may have very limited memory. a GPU with 12G memory can only contain batch size=6 if max_seq_len=512. so please reduce your max sequence length or improve your GPU, thank you!
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Hi,
I tried run_pretraining.py recently, works fine to me.
I'm using tensorflow-gpu=1.15.0, cudatoolkit=10.0.
First, I think that 960M has very limited VRAM, that could cause your issue.
Second, make sure that you use the same setting when runningcreate_pretraining_data.py
andrun_pretraining.py
. I had set once max_seq_length=512 increate_pretraining_data.py
, but max_seq_length=128 inrun_pretraining.py
. That will also break the code, but not because of the OOM, I think.
thank you for your issue
could you please show more detail about your error?
otherwise, I forgot which version of tenserflow we used, but following the official bert repo, I suggest you trying to downgrade your tensorflow version (the official repo shows tensorflow-gpu >= 1.11.0, so maybe 1.11 or 1.12 can solve your problem)
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